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SeniorHybridLondon

Machine Learning Engineer

A
ASOS.com
Уровень
Senior
Формат
Hybrid
О роли

Описание вакансии

About the company

  • ASOS is the online retailer for fashion lovers all around the world
  • We are looking for a Senior Machine Learning Engineer, with expertise in deep learning, to join our cross-functional Outfits Discovery team

Responsibilities

  • Be part of an agile, cross-functional team building and improving our causal algorithms for the pricing and customer targeting space
  • Work alongside scientists in driving the implementation and deployment of at-scale solutions for our hundreds of millions of customers/products
  • Deploy batch and online machine learning models at high scale
  • Continually develop and improve our code and technology, taking an active role in the conception of brand-new features
  • Mentor and coach junior members of the team, supporting their technical progress
  • Contribute to the team's technical direction, establish ML standards, and drive quality across ASOS's ML community

Requirements

  • Experience applying machine learning in production settings, with exposure to deep learning techniques and their practical use
  • Experience working with deep learning and distributed computing frameworks to support large-scale models
  • Familiarity with training models across multiple GPUs using distributed or parallel approaches, or a strong interest in developing this expertise
  • A solid understanding of software development lifecycles and engineering practices, including data pipelines, CI/CD, containerisation and observability, with experience or interest in MLOps tooling
  • Comfortable supporting others through technical guidance, mentoring or knowledge sharing, and contributing to wider engineering initiatives across ASOS

Conditions

  • Employee discount
  • Employee sample sales
  • 25 days paid annual leave + an extra celebration day for a special moment
  • Discretionary bonus scheme
  • Private medical care scheme
  • Flexible benefits allowance
  • Opportunity for personalised learning and in-the-moment experiences
Стек и навыки

С чем работаем